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Mechanisms and therapeutic implications of hypermutation in gliomas 期刊论文
NATURE, 2020, 580 (7804) : 517-+
作者:  Feng, Kaibo;  Quevedo, Raundi E.;  Kohrt, Jeffrey T.;  Oderinde, Martins S.;  Reilly, Usa;  White, M. Christina
收藏  |  浏览/下载:27/0  |  提交时间:2020/07/03

A high tumour mutational burden (hypermutation) is observed in some gliomas(1-5)  however, the mechanisms by which hypermutation develops and whether it predicts the response to immunotherapy are poorly understood. Here we comprehensively analyse the molecular determinants of mutational burden and signatures in 10,294 gliomas. We delineate two main pathways to hypermutation: a de novo pathway associated with constitutional defects in DNA polymerase and mismatch repair (MMR) genes, and a more common post-treatment pathway, associated with acquired resistance driven by MMR defects in chemotherapy-sensitive gliomas that recur after treatment with the chemotherapy drug temozolomide. Experimentally, the mutational signature of post-treatment hypermutated gliomas was recapitulated by temozolomide-induced damage in cells with MMR deficiency. MMR-deficient gliomas were characterized by a lack of prominent T cell infiltrates, extensive intratumoral heterogeneity, poor patient survival and a low rate of response to PD-1 blockade. Moreover, although bulk analyses did not detect microsatellite instability in MMR-deficient gliomas, single-cell whole-genome sequencing analysis of post-treatment hypermutated glioma cells identified microsatellite mutations. These results show that chemotherapy can drive the acquisition of hypermutated populations without promoting a response to PD-1 blockade and supports the diagnostic use of mutational burden and signatures in cancer.


Temozolomide therapy seems to lead to mismatch repair deficiency and hypermutation in gliomas, but not to an increase in response to immunotherapy.


  
A genomic and epigenomic atlas of prostate cancer in Asian populations 期刊论文
NATURE, 2020: 93-+
作者:  Perry, Rachel J.;  Zhang, Dongyan;  Guerra, Mateus T.;  Brill, Allison L.;  Goedeke, Leigh;  Nasiri, Ali R.;  Rabin-Court, Aviva;  Wang, Yongliang;  Peng, Liang;  Dufour, Sylvie;  Zhang, Ye;  Zhang, Xian-Man;  Butrico, Gina M.;  Toussaint, Keshia;  Nozaki, Yuichi;  Cline, Gary W.;  Petersen, Kitt Falk;  Nathanson, Michael H.;  Ehrlich, Barbara E.;  Shulman, Gerald I.
收藏  |  浏览/下载:33/0  |  提交时间:2020/07/03

Prostate cancer is the second most common cancer in men worldwide(1). Over the past decade, large-scale integrative genomics efforts have enhanced our understanding of this disease by characterizing its genetic and epigenetic landscape in thousands of patients(2,3). However, most tumours profiled in these studies were obtained from patients from Western populations. Here we produced and analysed whole-genome, whole-transcriptome and DNA methylation data for 208 pairs of tumour tissue samples and matched healthy control tissue from Chinese patients with primary prostate cancer. Systematic comparison with published data from 2,554 prostate tumours revealed that the genomic alteration signatures in Chinese patients were markedly distinct from those of Western cohorts: specifically, 41% of tumours contained mutations in FOXA1 and 18% each had deletions in ZNF292 and CHD1. Alterations of the genome and epigenome were correlated and were predictive of disease phenotype and progression. Coding and noncoding mutations, as well as epimutations, converged on pathways that are important for prostate cancer, providing insights into this devastating disease. These discoveries underscore the importance of including population context in constructing comprehensive genomic maps for disease.


Genomic, transcriptomic and DNA methylation data from tissue samples from 208 Chinese patients with prostate cancer define the landscape of alterations in this population, and comparison with data from Western cohorts suggests that the disease may stratify into different molecular subtypes.


  
The evolutionary history of 2,658 cancers 期刊论文
NATURE, 2020, 578 (7793) : 122-+
作者:  Tao, Panfeng;  Sun, Jinqiao;  Wu, Zheming;  Wang, Shihao;  Wang, Jun;  Li, Wanjin;  Pan, Heling;  Bai, Renkui;  Zhang, Jiahui;  Wang, Ying;  Lee, Pui Y.;  Ying, Wenjing;  Zhou, Qinhua;  Hou, Jia;  Wang, Wenjie;  Sun, Bijun;  Yang, Mi;  Liu, Danru;  Fang, Ran;  Han, Huan;  Yang, Zhaohui;  Huang, Xin;  Li, Haibo;  Deuitch, Natalie;  Zhang, Yuan;  Dissanayake, Dilan;  Haude, Katrina;  McWalter, Kirsty;  Roadhouse, Chelsea;  MacKenzie, Jennifer J.;  Laxer, Ronald M.;  Aksentijevich, Ivona;  Yu, Xiaomin;  Wang, Xiaochuan;  Yuan, Junying;  Zhou, Qing
收藏  |  浏览/下载:33/0  |  提交时间:2020/07/03

Cancer develops through a process of somatic evolution(1,2). Sequencing data from a single biopsy represent a snapshot of this process that can reveal the timing of specific genomic aberrations and the changing influence of mutational processes(3). Here, by whole-genome sequencing analysis of 2,658 cancers as part of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA)(4), we reconstruct the life history and evolution of mutational processes and driver mutation sequences of 38 types of cancer. Early oncogenesis is characterized by mutations in a constrained set of driver genes, and specific copy number gains, such as trisomy 7 in glioblastoma and isochromosome 17q in medulloblastoma. The mutational spectrum changes significantly throughout tumour evolution in 40% of samples. A nearly fourfold diversification of driver genes and increased genomic instability are features of later stages. Copy number alterations often occur in mitotic crises, and lead to simultaneous gains of chromosomal segments. Timing analyses suggest that driver mutations often precede diagnosis by many years, if not decades. Together, these results determine the evolutionary trajectories of cancer, and highlight opportunities for early cancer detection.